| Download | - View supplementary information: Exploring quantum active learning for materials design and discovery (PDF, 2.0 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1039/D5CP04800A |
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| Author | Search for: Lourenço, Maicon Pierre1ORCID identifier: https://orcid.org/0000-0002-0110-8318; Search for: Zadeh-Haghighi, Hadi2; Search for: Hostaš, Jiří3, 2ORCID identifier: https://orcid.org/0000-0001-6652-602X; Search for: Naseri, Mosayeb3, 2ORCID identifier: https://orcid.org/0000-0003-0786-2175; Search for: Gaur, Daya4; Search for: Simon, Christoph2; Search for: Salahub, Dennis R.2ORCID identifier: https://orcid.org/0000-0002-9848-3762 |
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| Affiliation | - Universidade Federal do Espírito Santo
- University of Calgary
- National Research Council Canada. Digital Technologies
- University of Lethbridge
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| Funder | Search for: Natural Sciences and Engineering Research Council of Canada; Search for: Fundação de Amparo à Pesquisa e Inovação do Espírito Santo; Search for: Conselho Nacional de Desenvolvimento Científico e Tecnológico; Search for: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Search for: National Research Council Canada |
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| Format | Text, Article |
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| Abstract | The meeting of artificial intelligence and quantum computing is already a reality; quantum active learning uses quantum machine learning algorithms (the agent) sequentially for decision-making and promises to accelerate materials design and discovery. |
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| Publication date | 2026-03-10 |
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| Publisher | Royal Society of Chemistry |
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| Copyright statement | - © the Owner Societies 2026
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 5d525d3e-901b-4a67-a43d-9bd08f1c5507 |
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| Record created | 2026-05-13 |
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| Record modified | 2026-05-25 |
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